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INDUSTRIES · TELECOMMUNICATIONS

Every site, every lease, every bill, checked.

Operators and tower companies run thousands of sites, leases and partner contracts. We read the contracts, match them to the bills and the network, and show what to recover and what to stop.

MONEY LINELease overpayments stopped, revenue assured and partner payouts checked, by circle, site and partner.

01Where money leaks in telecoms

01SAVE $

Site leases

Rent escalations applied early or twice, and rent paid on sites that have closed.

02SAVE $

Energy at sites

Diesel and power bills above what the site’s load needs.

03EARN $

Revenue assurance

Services in use but not billed, and plans billed below their tariff.

04SAVE $

Partner and dealer payouts

Commissions on activations that never stayed active.

02Twelve use cases

Twelve use cases across sites, network, revenue and partners

SITES AND LEASES
  • Lease escalation checksLease contracts, rent payments
  • Rent on closed sitesSite register, payments
  • Renewals and notice datesContracts, calendars
NETWORK OPERATIONS
  • Diesel against site loadFuel issues, load data, run hours
  • Power bills by siteUtility bills, meter data
  • Spares and equipment at sitesStores, site transfers
REVENUE ASSURANCE
  • Usage billed against network recordsNetwork records, billing
  • Plans billed below tariffTariffs, invoices
  • Interconnect and roaming settlementsPartner statements, traffic
CHANNEL AND PARTNERS
  • Dealer commission checksActivations, churn, payouts
  • SIM and device stockStock, activations
  • Duplicate vendor paymentsVendor master, invoices

Each use case names the data it needs. Network, billing and site data usually sit outside the ERP.

03One case

One case: thousands of site leases, read by private Gen AI

Leases: the contract sets the rent. Nobody re-reads the contract.

Situation
A telecom operator with thousands of site leases, each scanned and stored; rent paid from a master list.
What a sample misses
Each payment matches the master list. The list itself drifted away from the contracts years ago.
Data and technique
Private Gen AI reads every lease for rent, escalation and notice terms; the terms are matched to every rent payment and the site register.
Typical findings
Escalations applied early or above the clause; rent on sites closed months ago; renewals that ran without review.
Control fix
Lease terms held as data; each rent run checked against the contract and the site’s status.

The contract is the control. Read it every time you pay.

Illustrative composite case, read-only access.

A telecom operator reviews thousands of site leases with private Gen AI →

04Tests to run first

Sites, network and revenue: 12 tests to run first

Sites and networkRevenue and partners
Rent escalations above or before the clauseUsage on the network with no bill
Rent paid on closed sitesPlans billed below the published tariff
Two leases paid for the same siteCommission on activations that churned within 90 days
Diesel issued above the site’s loadInterconnect bills above the traffic records
Power bills above the site’s meter dataSIMs activated in bulk by one dealer
Renewals that ran without reviewCredits and waivers by the same user

Thresholds are set for each circle and partner, and tuned on the results. The contracts stay in your environment.

05Earn $ and Save $ in telecoms

PROOF

A telecom operator stopped USD 1.1 Mn a year of rent on closed sites and early escalations after reviewing 9,000 leases.

Where is your money hiding?

Where is your money hiding?

Three minutes to an estimate. Thirty minutes to a plan. Six weeks to valued findings on your own data.